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Jul 23, 2024 · Handwritten character recognition (HCR) involves identifying characters in images, documents, and various sources such as forms surveys, questionnaires, and ...
1 day ago · Handwritten Character Recognition (HCR) is an essential technology in computer vision and pattern recognition, enabling the digitization of.
Jul 30, 2024 · This paper aims to increase the accuracy of Kazakh handwriting text recognition (KHTR) using the generative adversarial network (GAN), where a handwriting word ...
Jul 19, 2024 · The optical character recognition (OCR) of handwritten Arabic amounts must ... These techniques include rescaling to normalize pixel values, shear transformations ...
Jul 29, 2024 · "Improved method of handwritten digit recognition tested on MNIST database" (PDF). ... "An Ensemble of Simple Convolutional Neural Network Models for MNIST Digit ...
Jul 26, 2024 · The study used an ensemble of three convolutional neural networks (CNNs) for recognizing handwritten Kanji characters and utilized four datasets of MNIST, K- ...
Jul 23, 2024 · Wang T et al. [9] proposed a new Radical Aggregation Network (RAN) for offline handwritten Chinese character recognition. This approach can accurately recognize ...
Aug 8, 2024 · This review presents a comprehensive exploration of ensemble deep learning models within Natural Language Processing (NLP), shedding light on their ...
Jul 17, 2024 · This 5-layer network, illustrated in Figure 4., was trained on the MNIST digit dataset, showcasing its capability to recognize handwritten digits in 32x32 pixel ...
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Jul 29, 2024 · C. L. Liu, “Normalization-cooperated gradient feature extraction for handwritten character recognition,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, ...